Bahar Pourbabaee
About Bahar Pourbabaee
Bahar Pourbabaee is an AI Research Manager with extensive experience in machine learning and embedded systems. She has contributed to the development of automated evaluation systems in sports and has held various research and teaching positions in Canada.
Current Role at Sportlogiq
Bahar Pourbabaee serves as the AI Research Manager at Sportlogiq, a position she has held since 2020. In this role, she leads research initiatives focused on artificial intelligence applications in sports analytics. Her responsibilities include overseeing academic collaborative projects with various Canadian universities, managing research fellows, and mentoring interns. She has been instrumental in developing innovative AI solutions, including a fully automated soccer player evaluation system.
Previous Experience in Research and Development
Prior to her current role, Pourbabaee worked as a Machine Learning Researcher and Team Lead at Sportlogiq from 2019 to 2020. She also held the position of Machine Learning Researcher at OMsignal from 2017 to 2019. Her earlier experience includes a role as an Embedded Control Software Specialist at CS Communication and Systems Canada Inc. from 2016 to 2017, and as a Research Assistant at Concordia University from 2010 to 2016.
Academic Background
Bahar Pourbabaee has a strong academic foundation in engineering. She earned her PhD in Electrical and Computer Engineering from Concordia University. Prior to that, she completed her M.Sc in Electrical Engineering at the University of Tehran and her B.Sc in Electrical Engineering at Shahid Beheshti University. Her education has provided her with a solid understanding of the principles of engineering and technology.
Research Contributions and Publications
Pourbabaee has made significant contributions to the field of AI and sports analytics. She co-authored papers on topics such as Actor-Transformers for Group Activity Recognition and Group Activity Detection from Trajectory and Video Data in Soccer. Additionally, she has presented her research at the Deep Learning Summit in Montreal, showcasing her expertise in machine learning and its applications in sports.
Innovative Projects and Initiatives
Throughout her career, Pourbabaee has developed various innovative projects. Notably, she created efficient semi-automated AI-assisted data collection systems for sports videos. She also led the development of a reinforcement learning-based insight engine designed to generate stories for media. Her work emphasizes the integration of AI technologies in enhancing sports performance analysis and media storytelling.